Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "57"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 57 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 33 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 33 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 57, Node N04:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2460016 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 2.889441 0.058405 2.351723 -0.803372 1.743507 0.207408 -2.276976 1.422707 0.5962 0.6084 0.3424 nan nan
2460015 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 3.086244 -0.001468 2.421095 -0.685295 1.915163 0.612855 -2.303391 0.554983 0.6057 0.6187 0.3423 nan nan
2460014 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 2.929146 -0.342855 1.771522 -0.209500 1.653706 0.991840 -2.281199 0.694734 0.5870 0.5962 0.3469 nan nan
2460013 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 2.711872 0.544381 2.218444 -0.233987 1.407933 0.192725 -2.501844 0.828718 0.6029 0.6189 0.3489 nan nan
2460012 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 2.879035 -0.037533 2.318464 -0.984455 2.112321 -0.011056 -3.078797 0.797882 0.5935 0.6140 0.3491 nan nan
2460011 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2460010 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2460009 RF_maintenance 100.00% 99.95% 100.00% 0.00% - - nan nan inf inf nan nan nan nan 0.2846 0.0437 0.2666 nan nan
2460008 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2460007 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459999 RF_maintenance 0.00% 99.83% 99.92% 0.00% - - nan nan nan nan nan nan nan nan 0.0916 0.1161 0.0474 nan nan
2459998 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - 2.973010 1.215537 2.546452 -0.466869 2.243731 0.118230 -1.935966 1.996560 0.6229 0.6350 0.3663 nan nan
2459997 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 10.767745 1.847627 10.418166 -0.795383 7.569517 1.463396 3.859707 4.648662 0.0468 0.6500 0.5054 nan nan
2459996 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 11.445548 0.064834 12.439832 -1.352550 7.133433 -0.053126 1.144500 1.147852 0.0462 0.6593 0.5073 nan nan
2459995 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 12.225398 0.057549 12.152405 -1.192099 7.774518 1.284656 1.336384 3.125798 0.0500 0.6480 0.4906 nan nan
2459994 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 11.660979 -0.090319 10.501988 -0.914582 7.605432 1.557173 1.049951 1.345185 0.0431 0.6388 0.4859 nan nan
2459993 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459991 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 13.804931 2.785906 10.361347 -1.033116 8.973035 1.813695 1.088087 2.361695 0.0417 0.6457 0.5002 nan nan
2459990 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 10.644888 3.263774 9.649122 -1.148455 8.913527 2.748463 3.144863 4.119446 0.0465 0.6473 0.5027 nan nan
2459989 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 10.893699 0.299610 9.039056 -0.759057 7.856688 1.103744 1.191794 1.642210 0.0410 0.6477 0.5079 nan nan
2459988 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 158.723693 162.049650 inf inf 3543.697381 3583.572275 4849.919570 4491.464230 nan nan nan nan nan
2459987 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 10.347093 -0.553712 9.624468 -1.371263 6.227019 0.066658 2.211597 1.668455 0.0468 0.6527 0.5066 nan nan
2459986 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 13.525058 4.512502 11.104306 -1.175580 9.198028 2.207488 6.160837 0.481759 0.0434 0.6723 0.5197 nan nan
2459985 RF_maintenance 100.00% 100.00% 0.00% 0.00% - - 11.896002 0.391388 9.764767 -1.404434 7.038797 0.066014 2.650349 2.721613 0.0442 0.6529 0.5137 nan nan
2459984 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 31.434782 1.112166 5.189623 -0.992873 15.865778 0.252637 0.915406 0.828341 0.4824 0.6708 0.3594 nan nan
2459983 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 15.656880 0.112701 7.516793 -1.255974 8.905839 2.705109 39.642933 0.840435 0.4765 0.6827 0.3712 nan nan
2459982 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 16.060504 1.954920 6.431631 -1.147268 2.180747 0.478341 0.954141 -0.963687 0.4988 0.7171 0.3167 nan nan
2459981 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 20.510168 3.388449 8.478218 -1.361204 6.562876 6.270183 20.429393 5.055491 0.3897 0.6529 0.4099 nan nan
2459980 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 18.925279 2.374640 6.726620 0.476719 5.160878 3.964926 4.382655 1.381846 0.5060 0.6909 0.3442 nan nan
2459979 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 10.032795 -0.209391 6.382285 0.491780 5.178716 1.358503 13.332628 1.396698 0.4755 0.6448 0.4127 nan nan
2459978 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 18.021235 0.688330 7.493336 1.067744 5.882880 1.502398 36.124064 3.011911 0.4226 0.6447 0.4201 nan nan
2459977 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 14.949078 0.596013 7.075623 1.087090 5.849993 3.493711 54.150121 7.587745 0.4272 0.6063 0.3823 nan nan
2459976 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 12.875243 1.129622 7.032152 0.513009 4.530772 1.417863 40.678603 2.611964 0.4731 0.6513 0.4106 nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 57: 2460016

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 2.889441 0.058405 2.889441 -0.803372 2.351723 0.207408 1.743507 1.422707 -2.276976

Antenna 57: 2460015

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 3.086244 -0.001468 3.086244 -0.685295 2.421095 0.612855 1.915163 0.554983 -2.303391

Antenna 57: 2460014

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 2.929146 2.929146 -0.342855 1.771522 -0.209500 1.653706 0.991840 -2.281199 0.694734

Antenna 57: 2460013

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 2.711872 2.711872 0.544381 2.218444 -0.233987 1.407933 0.192725 -2.501844 0.828718

Antenna 57: 2460012

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 2.879035 2.879035 -0.037533 2.318464 -0.984455 2.112321 -0.011056 -3.078797 0.797882

Antenna 57: 2460011

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 57: 2460010

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 57: 2460009

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 57: 2460008

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance nn Shape nan nan nan inf inf nan nan nan nan

Antenna 57: 2460007

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 57: 2459999

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance nn Shape nan nan nan nan nan nan nan nan nan

Antenna 57: 2459998

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 2.973010 2.973010 1.215537 2.546452 -0.466869 2.243731 0.118230 -1.935966 1.996560

Antenna 57: 2459997

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 10.767745 10.767745 1.847627 10.418166 -0.795383 7.569517 1.463396 3.859707 4.648662

Antenna 57: 2459996

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Power 12.439832 11.445548 0.064834 12.439832 -1.352550 7.133433 -0.053126 1.144500 1.147852

Antenna 57: 2459995

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 12.225398 12.225398 0.057549 12.152405 -1.192099 7.774518 1.284656 1.336384 3.125798

Antenna 57: 2459994

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 11.660979 11.660979 -0.090319 10.501988 -0.914582 7.605432 1.557173 1.049951 1.345185

Antenna 57: 2459993

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 57: 2459991

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 13.804931 13.804931 2.785906 10.361347 -1.033116 8.973035 1.813695 1.088087 2.361695

Antenna 57: 2459990

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 10.644888 3.263774 10.644888 -1.148455 9.649122 2.748463 8.913527 4.119446 3.144863

Antenna 57: 2459989

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 10.893699 0.299610 10.893699 -0.759057 9.039056 1.103744 7.856688 1.642210 1.191794

Antenna 57: 2459988

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance nn Power inf 162.049650 158.723693 inf inf 3583.572275 3543.697381 4491.464230 4849.919570

Antenna 57: 2459987

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 10.347093 10.347093 -0.553712 9.624468 -1.371263 6.227019 0.066658 2.211597 1.668455

Antenna 57: 2459986

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 13.525058 4.512502 13.525058 -1.175580 11.104306 2.207488 9.198028 0.481759 6.160837

Antenna 57: 2459985

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 11.896002 0.391388 11.896002 -1.404434 9.764767 0.066014 7.038797 2.721613 2.650349

Antenna 57: 2459984

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 31.434782 31.434782 1.112166 5.189623 -0.992873 15.865778 0.252637 0.915406 0.828341

Antenna 57: 2459983

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Temporal Discontinuties 39.642933 15.656880 0.112701 7.516793 -1.255974 8.905839 2.705109 39.642933 0.840435

Antenna 57: 2459982

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 16.060504 16.060504 1.954920 6.431631 -1.147268 2.180747 0.478341 0.954141 -0.963687

Antenna 57: 2459981

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 20.510168 3.388449 20.510168 -1.361204 8.478218 6.270183 6.562876 5.055491 20.429393

Antenna 57: 2459980

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Shape 18.925279 2.374640 18.925279 0.476719 6.726620 3.964926 5.160878 1.381846 4.382655

Antenna 57: 2459979

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Temporal Discontinuties 13.332628 10.032795 -0.209391 6.382285 0.491780 5.178716 1.358503 13.332628 1.396698

Antenna 57: 2459978

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Temporal Discontinuties 36.124064 0.688330 18.021235 1.067744 7.493336 1.502398 5.882880 3.011911 36.124064

Antenna 57: 2459977

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Temporal Discontinuties 54.150121 14.949078 0.596013 7.075623 1.087090 5.849993 3.493711 54.150121 7.587745

Antenna 57: 2459976

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
57 N04 RF_maintenance ee Temporal Discontinuties 40.678603 1.129622 12.875243 0.513009 7.032152 1.417863 4.530772 2.611964 40.678603
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